Which technology uses algorithms to parse input data and develop strategies for using that data, such as object identification or determining the next move in a game?

The chosen answer highlights the role of machine learning, which involves the use of algorithms to analyze data, identify patterns, and make predictions based on the information available. In the context of the question, machine learning algorithms utilize input data to devise strategies, such as identifying objects within images or making decisions in game scenarios.

Machine learning encompasses various techniques that allow systems to improve their performance on tasks over time by learning from the data they process. It lays the foundation for numerous applications where interactive data processing and intelligent decision-making are crucial, effectively enabling technology to adapt and respond to new information.

While other technologies, such as deep learning, also utilize algorithms and can perform similar tasks, machine learning covers a broader category that includes deep learning as a subset. Deep learning specifically focuses on the use of neural networks with several layers, which excel in tasks requiring large amounts of data and complex representations. In contrast, big data refers to the vast volumes of data that can be analyzed but does not inherently include the algorithmic decision-making process implied in the question. Deep fake technology centers on creating realistic manipulations of media rather than the strategy development indicated in the question.